Triple

T21007595
Position Surface form Disambiguated ID Type / Status
Subject Grödig E517452 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object SL
SL is the vehicle registration code used for the district of Salzburg-Umgebung in the Austrian state of Salzburg.
E625340 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: SL | Statement: [Grödig, vehicleRegistrationCode, SL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SL
Context triple: [Grödig, vehicleRegistrationCode, SL]
  • A. SL
    The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
  • B. SL
    SL is a German vehicle registration code used on license plates to identify cars registered in the Saalekreis district of Saxony-Anhalt.
  • C. SL
    SL is a mid-range trim level designation used by Holden for certain Torana models, offering additional comfort and convenience features over the base variants.
  • D. SL
    SL is the two-letter ISO country code for Sierra Leone, a West African nation on the Atlantic coast.
  • E. SL
    SL is the post-nominal abbreviation used in Finland to denote a person who has been awarded a decoration of the Order of the Lion of Finland.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SL
Triple: [Grödig, vehicleRegistrationCode, SL]
Generated description
SL is the vehicle registration code used for the district of Salzburg-Umgebung in the Austrian state of Salzburg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SL
Target entity description: SL is the vehicle registration code used for the district of Salzburg-Umgebung in the Austrian state of Salzburg.
  • A. SL
    SL is the vehicle registration code used for the Salzburg-Land (Salzburg rural district) region in Austria.
  • B. SL chosen
    SL is the vehicle registration code used for the Flachgau (Salzburg-Umgebung) district in the Austrian state of Salzburg.
  • C. SL
    SL is the vehicle registration code used for the Austrian municipality of Anif in the state of Salzburg.
  • D. SL
    SL is a German vehicle registration code used on license plates to identify cars registered in the Saalekreis district of Saxony-Anhalt.
  • E. SL
    SL is the IATA airline designator code assigned to SAS Ireland, a subsidiary carrier of Scandinavian Airlines.
  • F. None of above.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0b50192308190a284fcc89dd23a49 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc3cc8648190b1a419ef734a69e6 completed April 21, 2026, 4:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a093b563d148190a2c06e8550fa071e completed May 17, 2026, 3:51 a.m.
NEDg Description generation batch_6a093c1b09708190afd8e748dc4b3888 completed May 17, 2026, 3:55 a.m.
NED2 Entity disambiguation (via description) batch_6a093c885164819093708d94e6fa6f95 completed May 17, 2026, 3:56 a.m.
Created at: April 16, 2026, 1:53 p.m.